Daniel Ramage
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
12
Active years
2007–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications. | Yanxiang Zhang, Zheng Xu, Shanshan Wu, Yuanbo Zhang, Daniel Ramage |
| 2024 | CCS | AirGapAgent: Protecting Privacy-Conscious Conversational Agents. | Eugene Bagdasarian, Ren Yi, Sahra Ghalebikesabi, Peter Kairouz, Marco Gruteser, Sewoong Oh, Borja Balle, Daniel Ramage |
| 2022 | SP | Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning. | Virat Shejwalkar, Amir Houmansadr, Peter Kairouz, Daniel Ramage |
| 2020 | ICLR | Generative Models for Effective ML on Private, Decentralized Datasets. | Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Agera y Arcas |
| 2020 | ICML | Context Aware Local Differential Privacy. | Jayadev Acharya, Kallista A. Bonawitz, Peter Kairouz, Daniel Ramage, Ziteng Sun |
| 2018 | ICLR | Learning Differentially Private Recurrent Language Models. | H. Brendan McMahan, Daniel Ramage, Kunal Talwar, Li Zhang |
| 2017 | AISTATS | Communication-Efficient Learning of Deep Networks from Decentralized Data. | Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, Blaise Agera y Arcas |
| 2017 | CCS | Practical Secure Aggregation for Privacy-Preserving Machine Learning. | Kallista A. Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H. Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, Karn Seth |
| 2016 | ICML | Discrete Distribution Estimation under Local Privacy. | Peter Kairouz, Kallista A. Bonawitz, Daniel Ramage |
| 2012 | CHI | Interpretation and trust: designing model-driven visualizations for text analysis. | Jason Chuang, Daniel Ramage, Christopher D. Manning, Jeffrey Heer |
| 2011 | KDD | Partially labeled topic models for interpretable text mining. | Daniel Ramage, Christopher D. Manning, Susan T. Dumais |
| 2011 | WSDM | #TwitterSearch: a comparison of microblog search and web search. | Jaime Teevan, Daniel Ramage, Meredith Ringel Morris |
| 2010 | ICWSM | Characterizing Microblogs with Topic Models. | Daniel Ramage, Susan T. Dumais, Daniel J. Liebling |
| 2009 | EMNLP | Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora. | Daniel Ramage, David Hall, Ramesh Nallapati, Christopher D. Manning |
| 2009 | WSDM | Clustering the tagged web. | Daniel Ramage, Paul Heymann, Christopher D. Manning, Hector Garcia-Molina |
| 2008 | SIGIR | Social tag prediction. | Paul Heymann, Daniel Ramage, Hector Garcia-Molina |
| 2007 | ACL | Learning Alignments and Leveraging Natural Logic. | Nathanael Chambers, Daniel M. Cer, Trond Grenager, David Hall, Chlo Kiddon, Bill MacCartney, Marie-Catherine de Marneffe, Daniel Ramage, Eric Yeh, Christopher D. Manning |
| 2007 | EMNLP | Lexical Semantic Relatedness with Random Graph Walks. | Thad Hughes, Daniel Ramage |